Landslide susceptibility assessment through multi-model stacking and meta-learning in Poyang County, China

Landslide susceptibility assessment through multi-model stacking and meta-learning in Poyang County, China

This study aims to evaluate the effectiveness of various individual machine learning and their ensemble techniques such as Stacking, Voting and Meta-learning in landslide susceptibility assessment taking Poyang, Jiangxi, China as an example. Multi-source geo-environmental data including field survey...

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Bibliographic Details
Main Authors:	Yong Song, Yingxu Song, Chengnan Wang, Linwei Wu, Weicheng Wu, Yuan Li, Sicheng Li, Aiqing Chen
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2024-12-01
Series:	Geomatics, Natural Hazards & Risk
Subjects:	Landslide susceptibility model stacking and voting meta learning machine learning explainable artificial intelligence (XAI)
Online Access:	https://www.tandfonline.com/doi/10.1080/19475705.2024.2354499
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